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The Scientific World Journal
Volume 2014, Article ID 831691, 14 pages
http://dx.doi.org/10.1155/2014/831691
Research Article

The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems

1Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
2Department of Industrial Informatics, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland
3Polish-Japanese Institute of Information Technology, Aleja Legionów 2, 41-902 Bytom, Poland

Received 23 August 2013; Accepted 18 January 2014; Published 19 March 2014

Academic Editors: M. A. Abido and G. Wei

Copyright © 2014 Henryk Josiński et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Daniel Kostrzewa, and Henryk Josiński, “Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions,” vol. 1738, pp. 180009, . View at Publisher · View at Google Scholar
  • Yanjun Shi, Luyang Hou, and Xiaojun Zheng, “Solving workshop layout by hybridizing invasive weed optimization with simulated annealing,” 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 484–488, . View at Publisher · View at Google Scholar
  • Mohamad-Hoseyn Sigari, Muhammad-Reza Pourshahabi, and Hamid-Reza Pourreza, “A New Evolutionary-Incremental Framework for Feature Selection,” Advances in Artificial Intelligence, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Adam Switonski, Henryk Josinski, Hafed Zghidi, Konrad Wojciechowski, Adam Switonski, Henryk Josinski, Hafed Zghidi, and Konrad Wojciechowski, “Selection of Pose Configuration Parameters of Motion Capture Data based on Dynamic Time Warping,” Proceedings Of The International Conference Of Numerical Analysis And Applied Mathematics 2014 (Icnaam-2014), vol. 1648, 2015. View at Publisher · View at Google Scholar
  • Daniel Kostrzewa, and Robert Brzeski, “Adjusting Parameters of the Classifiers in Multiclass Classification,” Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, vol. 716, pp. 89–101, 2017. View at Publisher · View at Google Scholar
  • Daniel Kostrzewa, and Robert Brzeski, “Parametric Optimization of the Selected Classifiers in Binary Classification,” Advanced Topics in Intelligent Information and Database Systems, vol. 710, pp. 59–69, 2017. View at Publisher · View at Google Scholar